How do I use Azure Pricing MCP Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Azure Pricing MCP Server compare D4s v4 VM costs between East US and West Europe" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

Azure Pricing MCP Server 💰

Python 3.10+ MCP License: MIT Tests

A Model Context Protocol (MCP) server that provides AI assistants with real-time access to Azure retail pricing information. Query VM prices, compare costs across regions, estimate monthly bills, and discover available SKUs—all through natural language.

🚀 Quick Start

# Clone and setup git clone https://github.com/msftnadavbh/AzurePricingMCP.git cd AzurePricingMCP python -m venv .venv source .venv/bin/activate # Windows: .venv\Scripts\activate pip install -r requirements.txt # Test the server python -m azure_pricing_mcp

Then configure your AI assistant. See Integrations.

✨ Features

Price Search - Query Azure prices with flexible filters
Price Comparison - Compare costs across regions or SKUs
Cost Estimation - Calculate monthly/yearly costs
Reserved Instances - Compare RI pricing with break-even analysis
Region Recommendations - Find the cheapest regions for any SKU
SKU Discovery - Fuzzy matching for service names
Retirement Warnings - Alerts for retiring VM SKUs
Spot VM Intelligence - Eviction rates and price history (requires Azure auth)

📖 Full feature details →

🛠️ Tools

11 tools available for AI assistants:

azure_price_search - Search retail prices
azure_price_compare - Compare across regions/SKUs
azure_ri_pricing - Reserved Instance pricing
azure_cost_estimate - Usage-based cost estimation
azure_region_recommend - Find cheapest regions
azure_discover_skus / azure_sku_discovery - SKU lookup
spot_eviction_rates / spot_price_history / simulate_eviction - Spot VM tools

📖 Tool documentation →

📋 Installation

Docker (Easiest):

docker build -t azure-pricing-mcp . docker run -i azure-pricing-mcp

Python:

pip install -r requirements.txt

📖 Full installation guide →

🔌 Integrations

Works with any MCP-compatible AI assistant:

VS Code with GitHub Copilot
Claude Desktop

📖 Integration setup →

📁 Project Structure

AzurePricingMCP/ ├── src/azure_pricing_mcp/ # Main package │ ├── server.py # MCP server │ ├── handlers.py # Tool handlers │ ├── client.py # Azure API client │ └── services/ # Business logic ├── tests/ # Test suite ├── docs/ # Documentation └── scripts/ # Setup scripts

📖 Detailed structure →

🔌 API Reference

This server uses the Azure Retail Prices API:

https://prices.azure.com/api/retail/prices

No authentication required - The Azure Retail Prices API is publicly accessible.

🤝 Contributing

We welcome contributions!

Quick Start

git clone https://github.com/YOUR_USERNAME/AzurePricingMCP.git cd AzurePricingMCP python -m venv .venv && source .venv/bin/activate pip install -e ".[dev]" pytest tests/

Guidelines

Fork the repository
Create a feature branch (git checkout -b feature/amazing-feature)
Commit changes (git commit -m 'Add amazing feature')
Push to branch (git push origin feature/amazing-feature)
Open a Pull Request

Code Style

Follow PEP 8
Add type hints
Include docstrings
Run black, ruff, and mypy before submitting

📖 Full contribution guide →

📚 Documentation

Document	Description
INSTALL.md	Installation guide
docs/FEATURES.md	Feature details
docs/TOOLS.md	Tool documentation
docs/INTEGRATIONS.md	VS Code & Claude setup
docs/USAGE_EXAMPLES.md	Detailed examples
CHANGELOG.md	Version history